Zobrazeno 1 - 10
of 260
pro vyhledávání: '"Marden, Jason R."'
Two-sided matching markets, environments in which two disjoint groups of agents seek to partner with one another, arise in many practical applications. In settings where the agents can assess the quality of their possible partners a priori, well-know
Externí odkaz:
http://arxiv.org/abs/2411.02377
Resource allocation in adversarial environments is a fundamental challenge across various domains, from corporate competition to military strategy. This article examines the impact of compromising an opponent's strategic intent in the context of Gene
Externí odkaz:
http://arxiv.org/abs/2410.01129
When multiple agents are engaged in a network of conflict, some can advance their competitive positions by forming alliances with each other. However, the costs associated with establishing an alliance may outweigh the potential benefits. This study
Externí odkaz:
http://arxiv.org/abs/2409.06899
Matching algorithms have demonstrated great success in several practical applications, but they often require centralized coordination and plentiful information. In many modern online marketplaces, agents must independently seek out and match with an
Externí odkaz:
http://arxiv.org/abs/2409.04669
Congestion games are popular models often used to study the system-level inefficiencies caused by selfish agents, typically measured by the price of anarchy. One may expect that aligning the agents' preferences with the system-level objective--altrui
Externí odkaz:
http://arxiv.org/abs/2409.01525
In competitive resource allocation formulations multiple agents compete over different contests by committing their limited resources in them. For these settings, contest games offer a game-theoretic foundation to analyze how players can efficiently
Externí odkaz:
http://arxiv.org/abs/2408.00883
Deriving competitive, distributed solutions to multi-agent problems is crucial for many developing application domains; Game theory has emerged as a useful framework to design such algorithms. However, much of the attention within this framework is o
Externí odkaz:
http://arxiv.org/abs/2406.17791
Autor:
Konda, Rohit, Prescott, Jordan, Chandan, Vikas, Crossno, Jesse, Pollard, Blake, Walsh, Dan, Bohonek, Rick, Marden, Jason R.
The widespread use of industrial refrigeration systems across various sectors contribute significantly to global energy consumption, highlighting substantial opportunities for energy conservation through intelligent control design. As such, this work
Externí odkaz:
http://arxiv.org/abs/2405.20433
Autor:
Konda, Rohit, Chandan, Vikas, Crossno, Jesse, Pollard, Blake, Walsh, Dan, Bohonek, Rick, Marden, Jason R.
The ubiquity and energy needs of industrial refrigeration has prompted several research studies investigating various control opportunities for reducing energy demand. This work focuses on one such opportunity, termed compressor sequencing, which ent
Externí odkaz:
http://arxiv.org/abs/2403.07831
Conventional distributed approaches to coverage control may suffer from lack of convergence and poor performance, due to the fact that agents have limited information, especially in non-convex discrete environments. To address this issue, we extend t
Externí odkaz:
http://arxiv.org/abs/2401.03752